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» Tracking in a Dense Crowd Using Multiple Cameras
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CVPR
2003
IEEE
14 years 9 months ago
Learning epipolar geometry from image sequences
We wish to determine the epipolar geometry of a stereo camera pair from image measurements alone. This paper describes a solution to this problem which does not require a parametr...
Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisse...
ICBA
2004
Springer
153views Biometrics» more  ICBA 2004»
14 years 1 months ago
A Still-to-Video Face Verification System Using Advanced Correlation Filters
In this paper we propose to use the technology of multiple correlation filters to address the issues involved in still-reference-to-video-sequence face verification. In particular,...
Chunyan Xie, B. V. K. Vijaya Kumar, S. Palanivel, ...
CVPR
2009
IEEE
15 years 2 months ago
Multi-Camera Activity Correlation Analysis
We propose a novel approach for modelling correlations between activities in a busy public space captured by multiple non-overlapping and uncalibrated cameras. In our approach, ...
Chen Change Loy (Queen Mary, University of London)...
CVPR
1997
IEEE
13 years 12 months ago
Multi-Modal Tracking of Faces for Video Communications
This paper describes a system which uses multiple visual processes to detect and track faces for video compression and transmission. The system is based on an architecture in whic...
James L. Crowley, François Bérard
ICIP
2004
IEEE
14 years 9 months ago
A general framework for 3d soccer ball estimation and tracking
A general framework for automatic 3D soccer ball estimation and tracking from multiple image sequences is proposed. Firstly, the ball trajectory is modelled as planarcurves in con...
Jinchang Ren, James Orwell, Graeme A. Jones, Ming ...